What One Should Know About Spark MLlib

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The goal of Spark MLlib is make practical machine learning scalable and easy. In addition to providing a set of common learning algorithms such as classification, regression, clustering, and collaborative filtering, it also provides a set of tools to help with building maintainable Machine Learning pipelines. Hien Luu dives into the concepts, details of these tools as well as the benefits they provide.
Hien Luu is an engineering manager at LinkedIn.
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[@itsnotthattough7588]

As a Vietnamese, I feel very proud of the speaker. Thank you!

[@JW-ri1mb]

Very much appreciated how you boiled the steps down to the basic definitions and workflow elements. When you just need the basics at first this is exactly what's needed. Definitely useful and well done!

[@DagangWei]

Concise yet informative, thanks!

[@carolinnerabbi965]

This was truly simple and efficient, thanks!

[@bindusyt]

AWESOME!

[@rithvikm]

very informative

[@shubh4319]

Spark ML